The role of decision support tools in drought management: Insights from the Netherlands DOI Creative Commons
Marleen Lam, Liduin Bos-Burgering, Miriam Coenders‐Gerrits

et al.

Environmental Science & Policy, Journal Year: 2025, Volume and Issue: 168, P. 104065 - 104065

Published: April 17, 2025

Language: Английский

Optimising Root and Grain Yield Through Variety Selection in Winter Wheat Across a European Climate Gradient DOI Creative Commons
Henrike Heinemann,

Fabien Durand‐Maniclas,

Felix Seidel

et al.

European Journal of Soil Science, Journal Year: 2025, Volume and Issue: 76(2)

Published: Feb. 24, 2025

ABSTRACT Ensuring food security through sustainable practices while reducing greenhouse gas emissions are key challenges in modern agriculture. Utilising genetic variability within a crop species to identify varieties with higher root biomass carbon (C) could help address these challenges. It is thus crucial quantify and understand intra‐specific above‐ belowground performance under varying environmental conditions. The study objectives were to: (a) depth distribution different winter wheat various pedoclimatic conditions, (b) investigate the influence of variety conditions on relationship between production, (c) assess whether optimised selection can lead both greater C yield, boosting accrual. Root biomass, 1 m soil root‐to‐shoot ratios assessed 10 grown at 11 experimental sites covering European climatic gradient from Spain Norway. Median down was 1.4 ± 0.7 Mg ha −1 . primary explanatory factor site, accounting for 60% variation diversity explained 9.5%. Precipitation had significantly negative effect total especially subsoil. Significant differences also observed grain yield. difference lowest one highest across average 0.9 which an increase 45%. Pedoclimatic than variety, determined relationship's direction A site‐specific approach is, therefore, needed realise full potential increased yield offered by selection.

Language: Английский

Citations

0
Climate change impact assessment on a German lowland river using long short-term memory and conceptual hydrological models DOI

Alexander Ley,

Helge Bormann, Markus Casper

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102426 - 102426

Published: April 29, 2025

Language: Английский

Citations

0
Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran DOI
Hossein Zamanı, Zohreh Pakdaman,

Marzieh Shakari

et al.

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Language: Английский

Citations

0
The role of decision support tools in drought management: Insights from the Netherlands DOI Creative Commons
Marleen Lam, Liduin Bos-Burgering, Miriam Coenders‐Gerrits

et al.

Environmental Science & Policy, Journal Year: 2025, Volume and Issue: 168, P. 104065 - 104065

Published: April 17, 2025

Language: Английский

Citations

0